DETERMINANTS OF CLOUD COMPUTING ADOPTION BY ROMANIAN SMES IN THE DIGITAL ECONOMY

The purpose of this paper is to explore the process of Cloud Computing adoption within Romanian Small and Medium sized Enterprises in the digital age. Most of the scientific papers related to this topic examine the general outlook of cloud computing implementation in Romania and focus on the use of the afore-mentioned technologies by large scale companies. In order to identify the factors that have an influence over the choice of Romanian SMEs to adopt cloud computing technology, a conceptual model has been set forth. The model’s dependent variable is the choice of the company’s management to implement cloud computing technologies. Five different independent types of variable structures which have an effect on the adoption of cloud computing within SMEs were identified. The five categories of variables are competition & government, ICT providers & firm departments, employee, manager and technological factors. Each of these categories of determinants encompasses at their turn two or more constructs. An online survey tested the model based on the responses of managers and directors from 198 Romanian SMEs from the cities of Bucharest and Cluj. The validity of the model was performed by completing factor analysis and reliability tests of the data; a logistic regression analysis was deployed to test the research hypotheses. The results emphasized that the managers’ know-how on cloud computing and the perceived costs of implementing the technology represent the main components influencing the spreading of cloud computing among Romanian SMEs. This study makes a valuable contribution to the academic environment but to businesses as well. The model can be used to examine the implementation of different innovative applications. Companies which offer cloud computing services could take advantage of the outcomes of this study to expand the degree of cloud service introduction among SMEs.

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A Research on Cloud Computing Adoption Practices in the Context of Online Business SMEs in Sri Lanka

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d5344.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 12522-12528

Keyword(s):

Cloud Computing ◽

Sri Lanka ◽

Service Providers ◽

Cloud Service ◽

Cloud Services ◽

Computing Services ◽

Cloud Computing Adoption ◽

Cloud Service Providers ◽

Online Business ◽

Cloud Computing Services

The purpose of the study was to explore the Cloud computing Practicing level, Cloud computing Satisfaction level and the Preferred Cloud service provider among the Online Business SMEs (OBSMEs) in Sri Lanka that have adopted Cloud services. Prior studies have shown that SMEs significantly benefit due to the adoption of Cloud computing services. The study was conducted among 260 randomly selected OBSMEs using self-administered questionnaires from managerial and ICT professionals who were capable of making ICT decision at OBSMEs under this study. However only 247 questionnaires were returned with complete data required for the purpose of analysis. A descriptive analysis was used to analyse the data. The findings have revealed that 31% of the OBSMEs are frequently Practicing Cloud computing for their ICT needs, while 69% of them relies on Cloud computing for their different ICT needs usually. Findings reveals that 35% of the OBSMEs are moderately Satisfied in this study, while 61% of OBSMEs have been reported that they are very Satisfied with Cloud computing services, at the same time 4% of the OBSMEs are reported that they have extremely Satisfied with Cloud computing services. In the context of OBSMEs it has been reported that 78% of the Cloud service providers are rendering reliability of services and OBSMEs are very satisfied, while 12% of the OBSMEs are moderately satisfied with the reliability of services and other 10% of the OBSMEs are extremely satisfied with the reliability of services provided by Cloud Service Providers in Sri Lanka. This study extends the existing body of knowledge by providing empirical support for explaining cloud computing adoption by OBSME in Sri Lanka. The study add value for various parties engaging in promoting the adoption of cloud computing among various business industries in Sri Lanka. Therefore, the researchers are able to recommend that cloud computing technology is playing a significant role for the improvement of business industries in Sri Lanka and the software vendors, policy makers and technological service providers should consider the findings of this study if they have intention to adopt this technology in future. Moreover, the findings of this research would assist and enhance service providers to consider their investment in information technology when adopting and implementing Cloud computing in Sri Lanka.

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Cloud Services: Application and its Use in Information Science

International Journal of Distributed and Cloud Computing ◽

10.21863/ijdcc/2015.3.1.003 ◽

2015 ◽

Vol 3 (1) ◽

Author(s):

Shahkar Riyaz Tramboo

Keyword(s):

Cloud Computing ◽

Large Scale ◽

Online Survey ◽

Information Science ◽

Research Process ◽

Cloud Services ◽

Information Storage ◽

Computing Services ◽

Basic Understanding ◽

Cloud Computing Services

The purpose of the paper is to present the different views of how cloud computing is being adopted as a service in the field of Information Science, and the varied services being provided by the Cloud. An online survey was carried out to look for cloud services and its level of penetration in the field of information science as a services provider. Also previous work on the same topic by various researchers was also taken into account as they provided the required impetus for the research process. The study assesses the cloud computing and the use of its services in the field of Information Science, along with few relevant examples of large scale cloud computing services. The finding can be used by the professionals to get basic understanding of the cloud computing and its services for information storage and dissemination.

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Big Data and Cloud Computing

Exploring the Convergence of Big Data and the Internet of Things - Advances in Data Mining and Database Management ◽

10.4018/978-1-5225-2947-7.ch001 ◽

2018 ◽

pp. 1-28 ◽

Cited By ~ 2

Author(s):

Marcus Tanque ◽

Harry J Foxwell

Keyword(s):

Cloud Computing ◽

Big Data ◽

Supply Chain ◽

Supply Chain Management ◽

Data Analytics ◽

Large Scale ◽

Big Data Analytics ◽

Chain Management ◽

Computing Services ◽

Cloud Computing Services

Big data and cloud computing are transforming information technology. These comparable technologies are the result of dramatic developments in computational power, virtualization, network bandwidth, availability, storage capability, and cyber-physical systems. The crossroads of these two areas, involves the use of cloud computing services and infrastructure, to support large-scale data analytics research, providing relevant solutions or future possibilities for supply chain management. This chapter broadens the current posture of cloud computing and big data, as associate with the supply chain solutions. This chapter focuses on areas of significant technology and scientific advancements, which are likely to enhance supply chain systems. This evaluation emphasizes the security challenges and mega-trends affecting cloud computing and big data analytics pertaining to supply chain management.

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Cloud-Based Platforms and Infrastructures

Advances in Data Mining and Database Management - Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications ◽

10.4018/978-1-5225-2013-9.ch003 ◽

2017 ◽

pp. 47-90

Author(s):

Marcus Tanque

Keyword(s):

Cloud Computing ◽

Virtual Machines ◽

Cloud Service ◽

Resource Provisioning ◽

Virtual Networks ◽

Network Resources ◽

Computing Services ◽

Service Models ◽

Cloud Computing Services ◽

Shared Network

Cloud computing consists of three fundamental service models: infrastructure-as-a-service, platform-as-a service and software-as-a-service. The technology “cloud computing” comprises four deployment models: public cloud, private cloud, hybrid cloud and community cloud. This chapter describes the six cloud service and deployment models, the association each of these services and models have with physical/virtual networks. Cloud service models are designed to power storage platforms, infrastructure solutions, provisioning and virtualization. Cloud computing services are developed to support shared network resources, provisioned between physical and virtual networks. These solutions are offered to organizations and consumers as utilities, to support dynamic, static, network and database provisioning processes. Vendors offer these resources to support day-to-day resource provisioning amid physical and virtual machines.

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The Importance of Business Model Factors for Cloud Computing Adoption: Role of Previous Experiences

Organizacija ◽

10.1515/orga-2017-0013 ◽

2017 ◽

Vol 50 (3) ◽

pp. 255-272 ◽

Cited By ~ 3

Author(s):

Kristina Bogataj Habjan ◽

Andreja Pucihar

Keyword(s):

Cloud Computing ◽

Business Model ◽

Business Models ◽

Service Providers ◽

Organizational Factors ◽

Research Results ◽

Computing Services ◽

Cloud Computing Adoption ◽

Cloud Computing Services ◽

The Impact

Abstract Background and Purpose: Bringing several opportunities for more effective and efficient IT governance and service exploitation, cloud computing is expected to impact the European and global economies significantly. Market data show that despite many advantages and promised benefits the adoption of cloud computing is not as fast and widespread as foreseen. This situation shows the need for further exploration of the potentials of cloud computing and its implementation on the market. The purpose of this research was to identify individual business model factors with the highest impact on cloud computing adoption. In addition, the aim was to identify the differences in opinion regarding the importance of business model factors on cloud computing adoption according to companies’ previous experiences with cloud computing services. Methodology: Based on literature review, prior research results, and interviews with cloud computing providers and users, a research model was developed. Statistical analysis focused on identification of factors’ importance on cloud computing adoption and differences in opinions according to respondents’ previous experiences with cloud computing services. The study was done among 80 companies and five major cloud computing providers in Slovenia. Results: The research results reveal statistically significant differences in opinions on the importance of cloud computing business model factors according to respondents’ previous experiences with cloud computing services. The results can provide orientation for redesign or innovation of existing business models towards the creation of a customer-oriented business model for the more successful exploitation of cloud computing services and business opportunities. For potential users, the findings represent guidelines for the successful adoption of cloud computing services. Conclusions: In our research, the investigated business model factors could be classified into so-called “business model organizational factors”, as they primarily need to be considered by cloud service providers when defining or innovating their business models. For future research, the model should also include the impact of environmental factors, such as Competition, Business Partners, Legislation, Economic Situation, in order to investigate their impact on cloud adoption.

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SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.660.196 ◽

2013 ◽

Vol 660 ◽

pp. 196-201 ◽

Cited By ~ 2

Author(s):

Muhammad Irfan ◽

Zhu Hong ◽

Nueraimaiti Aimaier ◽

Zhu Guo Li

Keyword(s):

Cloud Computing ◽

Computer Science ◽

Service Providers ◽

Service Level Agreement ◽

Cloud Service ◽

Service Level ◽

Cloud Services ◽

Computing Services ◽

Cloud Service Providers ◽

Cloud Computing Services

Cloud Computing is not a revolution; it’s an evolution of computer science and technology emerging by leaps and bounds, in order to merge all computer science tools and technologies. Cloud Computing technology is hottest to do research and explore new horizons of next generations of Computer Science. There are number of cloud services providers (Amazon EC2), Rackspace Cloud, Terremark and Google Compute Engine) but still enterprises and common users have a number of concerns over cloud service providers. Still there is lot of weakness, challenges and issues are barrier for cloud service providers in order to provide cloud services according to SLA (Service Level agreement). Especially, service provisioning according to SLAs is core objective of each cloud service provider with maximum performance as per SLA. We have identified those challenges issues, as well as proposed new methodology as “SLA (Service Level Agreement) Driven Orchestration Based New Methodology for Cloud Computing Services”. Currently, cloud service providers are using “orchestrations” fully or partially to automate service provisioning but we are trying to integrate and drive orchestration flows from SLAs. It would be new approach to provision cloud service and deliver cloud service as per SLA, satisfying QoS standards.

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Advancing Cloud Network Management with Smart Monitoring Technique

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.e5006.018520 ◽

2020 ◽

Vol 8 (5) ◽

pp. 495-500

Keyword(s):

Cloud Computing ◽

Service Providers ◽

Cloud Service ◽

Cloud Infrastructure ◽

Network Layers ◽

Monitoring Model ◽

Computing Services ◽

Cloud Monitoring ◽

Cloud Computing Services ◽

Cloud Network

The proliferation of Cloud Computing has opened new and attractive offerings for consumers. Cloud Service Providers promote and market packages of cloud computing services that cater to diverse opportunities and user applications. While this has obvious advantages, there are certain factors that are a cause for concern. Monitoring the underlying infrastructure that supports the entire fabric of cloud computing is an aspect that requires a great deal of attention. The aspect of monitoring takes on a great deal of significance when performance and robustness of cloud service on offer is taken into consideration. Although research has been conducted into various cloud computing monitoring techniques, there is scope and room yet for an integrated cloud monitoring solution that can fulfill the requirements of cloud administrators to ensure optimal performance of the underlying infrastructure of a cloud computing network. In this paper, we propose a unified monitoring model that is essentially a composite framework involving hardware and network layers. Studies conducted during our experiments suggest that our unified cloud monitoring approach can significantly aid in reducing overall carbon emissions while helping meeting compliance and audit norms by ensuring that the underlying cloud infrastructure is monitored closely

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Investigation on the Services of Private Cloud Computing by Using ADAM Method

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v6i5.pp2387-2395 ◽

2016 ◽

Vol 6 (5) ◽

pp. 2387

Author(s):

Nur Widiyasono ◽

Imam Riadi ◽

Ahmad Luthfie

Keyword(s):

Cloud Computing ◽

Service Providers ◽

Cloud Service ◽

Cloud Services ◽

Digital Data ◽

Laboratory Simulation ◽

Private Cloud ◽

Computing Services ◽

Cloud Computing Services ◽

Private Cloud Computing

<p>Cloud services are offered by many cloud service providers, but in for large companies generally are build by a private cloud computing. In cloud systems of abuse it can be done by internal users or due to misconfiguration or may also refer to weaknesses in the system. This study evaluated the ADAM method (Advanced Data Acquisition Model) and tested the case schemes which are being carried out in the laboratory simulation of the process in order to obtain forensic evidence of digital data on private cloud computing services. Referring to the results of the investigation process by using ADAM Method, it can be verified that there are several parameters of the success investigation including the structure of files, files, time stamp, mac-address, IP address, username password, and the data from a server both from the desktop PC or smartphone, therefore the investigation by using ADAM can be succesed properly and correctly. Another contribution of this study was to identify the weaknesses of the service system that used owncloud in users list of the the same group can change another’s user’s passwod.</p>

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Strategic Planning for Cloud Computing Adoption in STEM Education

Cloud Security ◽

10.4018/978-1-5225-8176-5.ch023 ◽

2019 ◽

pp. 459-469

Author(s):

Alan S. Weber

Keyword(s):

Cloud Computing ◽

Stem Education ◽

Network Access ◽

Configurable Computing ◽

Computing Services ◽

Cloud Computing Adoption ◽

E Learning ◽

Management Effort ◽

Cloud Computing Services ◽

And Mathematics

This chapter describes effective strategic analysis and implementation methods for the adoption of cloud computing services (infrastructure, platforms, and software) in Science, Technology, Engineering, and Mathematics (STEM) education. The benefits of cloud computing, including lower costs, scalability and virtualization capabilities, have been recognized and adopted by major educational, governmental and research institutions internationally during the last five years. However, the term ‘cloud computing' was only recently clarified in 2011 in the NIST's standard definition published by Mell and Grance (2012) as “a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.” Despite the increasing clarity in defining cloud computing, the deployment models can be complex, encompassing hybrid, public, community and private cloud frameworks, all with varying levels of privacy, security, and trust. Data format, integrity, and portability as well as geographical server location represent additional factors that educational institutions must weigh when they consider adopting a cloud solution for their educational needs. The chapter provides advice on how to strategically plan for the use of cloud computing services and how to identify, weigh and assess the various factors in decision-making. Just as with e-learning when it was found at the end of the 1990s that purely online technological approaches were not as effective as pedagogical models (blended learning) which took into account human factors such as student motivation, teacher training, technological illiteracy, etc., the author suggests that a holistic technology adoption process that includes needs assessment and stakeholder engagement will be the most successful.

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